Artificial Intelligence

A principle-based approach to AI adoption emphasises risk management and privacy and security, among others, says the Health Information Management Association of Australia.

Fostering a culture of transparency, accuracy, and respect for patient data may be key to fully realise AI's potential in healthcare, says a healthcare data analyst.

Yesha Patel, from Keck Medicine of USC, offers a sneak peek at her HIMSS AI in Healthcare Forum presentation, which shows how the health system has pulled off major implementations of AI technologies both acquired and homegrown.

Dr. Ronald Rodriguez of The University of Texas Health Science Center at San Antonio shows how medical education today can benefit from additional work in AI and discusses how his groundbreaking dual degree program may influence the industry.

Also, the South Korean government is exploring developing a new AI model to predict the efficacy of traditional Korean medicines.

Also, New Zealand's Healthline is introducing a new GP booking capability.

The model has demonstrated high accuracy in identifying causes and predicting the progression of brain and spinal cord infections.

Jakob Skaarup Nielsen of Healthcare Denmark says countries wishing to adopt AI tools must prioritize security, transparency and stakeholder cooperation to encourage patients to accept these new technologies.

Senior leaders feel pressure to evolve AI but cite a lack of internal resources to develop in-house AI tools.

Third-party security vendor risk mitigation is another imperative as health systems rely on more and more technologies, says Barry Mathis of healthcare management consulting firm PYA.